mirror of
https://github.com/Kiritow/OJ-Problems-Source.git
synced 2024-03-22 13:11:29 +08:00
290 lines
9.6 KiB
C++
290 lines
9.6 KiB
C++
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//最小生成树
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//Prim + 邻接矩阵 O(V^2)
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typedef int wtype;
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const wtype INF = 0x3f3f3f3f;
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int n; wtype mp[N][N], cost[N];
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bool vis[N];
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wtype Prim(int src) {
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memset(vis, 0, sizeof(vis)); memcpy(cost, mp[src], sizeof(mp[src]));
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wtype ret = 0; vis[src] = true;
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for (int j = 1; j < n; j++) {
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int u = -1; wtype mn = INF;
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for (int i = 0; i < n; i++) {
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if (!vis[i] && mn > cost[i]) { mn = cost[i]; u = i; }
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}
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if (mn == INF) { return -1; } //原图不连通
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vis[u] = true; ret += mn;
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for (int v = 0; v < n; v++) {
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if (!vis[v] && cost[v] > mp[u][v]) { cost[v] = mp[u][v]; }
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}
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}
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return ret;
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}
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//Prim + priority_queue + 邻接表 O(ElogV)
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typedef int wtype;
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int head[N], to[M], nxt[M], tot; wtype len[M], cost[N];
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bool vis[N];
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void init() { tot = 0; memset(head, -1, sizeof(head)); }
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void addedge(int x, int y, wtype z) { to[tot] = y; len[tot] = z; nxt[tot] = head[x]; head[x] = tot++; }
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struct Node {
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int v; wtype w;
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bool operator<(const Node &r)const { return w > r.w; }
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};
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wtype Prim(int src) {
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memset(cost, 0x3f, sizeof(cost)); memset(vis, 0, sizeof(vis));
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wtype ret = 0;
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priority_queue<Node> que; que.push((Node) {src, cost[src] = 0});
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while (!que.empty()) {
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int u = que.top().v; que.pop();
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if (vis[u]) { continue; }
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vis[u] = true; ret += cost[u];
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for (int i = head[u]; ~i; i = nxt[i]) {
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int v = to[i];
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if (!vis[v] && cost[v] > len[i]) { cost[v] = len[i]; que.push((Node) {v, cost[v]}); }
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}
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}
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return ret;
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}
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//Kruskal + 邻接表 O(ElogE)
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typedef int wtype;
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struct Edge {
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int u, v; wtype w;
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bool operator<(const Edge &r)const { return w < r.w; }
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} edge[M];
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int n, fa[N], tot; //加边前赋值为0
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void addedge(int u, int v, wtype w) { edge[tot].u = u; edge[tot].v = v; edge[tot++].w = w; }
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int findfa(int x) { return fa[x] == -1 ? x : fa[x] = findfa(fa[x]); }
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wtype Kruskal() {
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memset(fa, -1, sizeof(fa));
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sort(edge, edge + tot);
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int cnt = 0; wtype ret = 0;
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for (int i = 0; i < tot; i++) {
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int u = edge[i].u, v = edge[i].v, t1 = findfa(u), t2 = findfa(v); wtype w = edge[i].w;
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if (t1 != t2) { ret += w; fa[t1] = t2; cnt++; }
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if (cnt == n - 1) { break; }
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}
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if (cnt < n - 1) { return -1; } //不连通
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return ret;
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}
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//次小生成树
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//Prim + 邻接矩阵 O(V^2 + E)
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//求最小生成树时, 用数组Mx[i][j]来表示MST中i到j最大边权
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//求完后, 直接枚举所有不在MST中的边, 替换掉最大边权的边, 更新答案
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typedef int wtype;
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const wtype INF = 0x3f3f3f3f;
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int n, pre[N];
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wtype mp[N][N], cost[N], Mx[N][N]; //Mx[i][j]表示在最小生成树中从i到j的路径中的最大边权
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bool vis[N], used[N][N];
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wtype Prim() {
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memset(Mx, 0, sizeof(Mx));
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memset(pre, 0, sizeof(pre));
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memset(vis, 0, sizeof(vis));
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memset(used, 0, sizeof(used));
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wtype ret = 0; vis[0] = true; pre[0] = -1;
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for (int i = 1; i < n; i++) { cost[i] = mp[0][i]; }
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for (int j = 1; j < n; j++) {
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int u = -1; wtype mn = INF;
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for (int j = 0; j < n; j++)
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if (!vis[j] && mn > cost[j]) { mn = cost[j]; u = j; }
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if (mn == INF) { return -1; } //原图不连通
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vis[u] = true; ret += mn;
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used[u][pre[u]] = used[pre[u]][u] = true;
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for (int v = 0; v < n; v++) {
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if (vis[v]) { Mx[v][u] = Mx[u][v] = max(Mx[v][pre[u]], cost[u]); }
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if (!vis[v] && cost[v] > mp[u][v]) { cost[v] = mp[u][v]; pre[v] = u; }
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}
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}
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return ret;
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}
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//Kruskal + 邻接表 O(VElogE)
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typedef int wtype;
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const wtype INF = 0x3f3f3f3f;
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struct Edge {
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int u, v; wtype w;
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bool operator<(const Edge &r)const { return w < r.w; }
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} edge[M];
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int n, fa[N], path[N], tot; //加边前赋值为0
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void addedge(int u, int v, wtype w) { edge[tot].u = u; edge[tot].v = v; edge[tot++].w = w; }
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int findfa(int x) { return fa[x] == -1 ? x : fa[x] = findfa(fa[x]); }
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wtype Kruskal() {
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memset(fa, -1, sizeof(fa));
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sort(edge, edge + tot);
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int cnt = 0; wtype ret = 0;
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for (int i = 0; i < tot; i++) {
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int u = edge[i].u, v = edge[i].v, t1 = findfa(u), t2 = findfa(v); wtype w = edge[i].w;
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if (t1 != t2) { ret += w; fa[t1] = t2; path[cnt++] = i; }
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if (cnt == n - 1) { break; }
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}
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if (cnt < n - 1) { return -1; } //不连通
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return ret;
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}
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wtype KruskalSec() {
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wtype ret = INF;
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for (int x = 0; x < n - 1; x++) {
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memset(fa, -1, sizeof(fa));
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int cnt = 0; wtype tmp = 0;
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for (int i = 0; i < tot; i++) {
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if (i != path[x]) {
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int u = edge[i].u, v = edge[i].v, t1 = findfa(u), t2 = findfa(v); wtype w = edge[i].w;
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if (t1 != t2) { tmp += w; fa[t1] = t2; cnt++; }
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if (cnt == n - 1) { if (tmp < ret) { ret = tmp; } break; }
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}
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}
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}
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if (ret == INF) { return -1; } //不存在
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return ret;
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}
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//最小树形图
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//朱刘算法 O(VE)
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typedef int wtype;
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const int N = 1005;
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const int M = 40005;
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const wtype INF = 0x3f3f3f3f;
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struct Edge { int u, v; wtype w; } edge[M];
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int n, m, pre[N], id[N], vis[N];
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wtype g[N][N], in[N];
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wtype Zhuliu(int root) {
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wtype res = 0; int u, v;
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for (;;) {
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memset(in, 0x3f, sizeof(in));
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memset(id, -1, sizeof(id));
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memset(vis, -1, sizeof(vis));
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for (int i = 0; i < m; i++) {
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if (edge[i].u != edge[i].v && edge[i].w < in[edge[i].v]) {
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pre[edge[i].v] = edge[i].u; in[edge[i].v] = edge[i].w;
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}
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}
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for (int i = 0; i < n; i++) {
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if (i != root && in[i] == INF) { return -1; } //不存在最小树形图
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}
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int tn = 0; in[root] = 0;
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for (int i = 0; i < n; i++) {
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res += in[i]; v = i;
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while (vis[v] != i && id[v] == -1 && v != root) {
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vis[v] = i; v = pre[v];
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}
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if (v != root && id[v] == -1) {
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for (int u = pre[v]; u != v ; u = pre[u]) { id[u] = tn; }
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id[v] = tn++;
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}
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}
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if (tn == 0) { break; } //没有有向环
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for (int i = 0; i < n; i++) {
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if (id[i] == -1) { id[i] = tn++; }
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}
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for (int i = 0; i < m;) {
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v = edge[i].v; edge[i].u = id[edge[i].u]; edge[i].v = id[edge[i].v];
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if (edge[i].u != edge[i].v) { edge[i++].w -= in[v]; }
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else { swap(edge[i], edge[--m]); }
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}
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n = tn; root = id[root];
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}
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return res;
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}
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//POJ 3164
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int main() {
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int C = 0, T, u, v, w;
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scanf("%d", &T);
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while (++C <= T) {
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memset(g, 0x3f, sizeof(g));
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scanf("%d%d", &n, &m);
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while (m--) {
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scanf("%d%d%d", &u, &v, &w);
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if (u == v) { continue; }
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g[u][v] = min(g[u][v], w);
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}
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for (int i = 0; i < n; i++) {
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for (int j = 0; j < n; j++) {
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if (g[i][j] < INF) { edge[m].u = i; edge[m].v = j; edge[m++].w = g[i][j]; }
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}
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}
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wtype ans = Zhuliu(0);
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printf("Case #%d: ", C);
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if (ans == -1) { puts("Possums!"); }
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else { printf("%d\n", ans); }
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}
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}
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//曼哈顿距离最小生成树
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//Kruskal O(VlogV)
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const int INF = 0x3f3f3f3f;
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struct Point {
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int x, y, id;
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bool operator<(const Point &r)const { return x < r.x || (x == r.x && y < r.y); }
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} p[N];
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struct Edge { //有效边
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int u, v, w;
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bool operator<(const Edge &r)const { return w < r.w; }
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} edge[N << 2];
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struct BIT { //树状数组, 找y-x大于当前的, 但是y+x最小的
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int min_val, pos;
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void init() { min_val = INF; pos = -1; }
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} bit[N];
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int n, tot, fa[N];
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int a[N], b[N];
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void addedge(int u, int v, int w) { edge[tot].u = u; edge[tot].v = v; edge[tot++].w = w; }
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int findfa(int x) { return fa[x] == -1 ? x : fa[x] = findfa(fa[x]); }
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inline int cost(Point a, Point b) { return abs(a.x - b.x) + abs(a.y - b.y); }
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inline int lowbit(int x) { return x & (-x); }
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void update(int i, int val, int pos) {
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for (; i > 0; i -= lowbit(i)) {
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if (val < bit[i].min_val) { bit[i].min_val = val; bit[i].pos = pos; }
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}
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}
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int query(int i, int m) { //查询[i, m]的最小值位置
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int min_val = INF, pos = -1;
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for (; i <= m; i += lowbit(i)) {
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if (bit[i].min_val < min_val) { min_val = bit[i].min_val; pos = bit[i].pos; }
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}
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return pos;
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}
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void MMST() {
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tot = 0;
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for (int d = 0; d < 4; d++) { //4种坐标变换
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if (d == 1 || d == 3) { for (int i = 0; i < n; i++) { swap(p[i].x, p[i].y); } }
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else if (d == 2) { for (int i = 0; i < n; i++) { p[i].x = -p[i].x; } }
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sort(p, p + n);
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for (int i = 0; i < n; i++) { a[i] = b[i] = p[i].y - p[i].x; }
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sort(b, b + n);
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int m = unique(b, b + n) - b;
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for (int i = 1; i <= m; i++) { bit[i].init(); }
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for (int i = n - 1 ; i >= 0; i--) {
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int pos = lower_bound(b, b + m, a[i]) - b + 1, ans = query(pos, m);
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if (ans != -1) { addedge(p[i].id, p[ans].id, cost(p[i], p[ans])); }
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update(pos, p[i].x + p[i].y, i);
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}
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}
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}
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int Kruskal() {
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MMST();
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memset(fa, -1, sizeof(fa));
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sort(edge, edge + tot);
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int ret = 0;
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for (int i = 0, k = 0; i < tot; i++) {
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int u = edge[i].u, v = edge[i].v, t1 = findfa(u), t2 = findfa(v);
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if (t1 != t2) {
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fa[t1] = t2; ret += edge[i].w;
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if (++k == n - 1) { return ret; }
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}
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}
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}
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//POJ3241 求曼哈顿最小生成树上第k大的边
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int Kruskal(int k) {
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MMST(n, p);
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memset(fa, -1, sizeof(fa));
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sort(edge, edge + tot);
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for (int i = 0; i < tot; i++) {
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int u = edge[i].u, v = edge[i].v, t1 = findfa(u), t2 = findfa(v);
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if (t1 != t2) {
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fa[t1] = t2;
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if (--k == 0) { return edge[i].w; }
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}
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}
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}
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//生成树计数
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//Matrix-Tree定理(Kirchhoff 矩阵-树定理)
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//1、G的度数矩阵D[G]是一个n*n的矩阵, 并且满足: 当i ≠ j时,dij = 0; 当i = j时, dij等于vi的度数
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//2、G的邻接矩阵A[G]也是一个n*n的矩阵, 并且满足: 如果vi vj之间有边直接相连, 则aij = 1, 否则为0
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//我们定义G的Kirchhoff矩阵(也称为拉普拉斯算子)C[G]为C[G] = D[G] - A[G], 则Matrix-Tree定理可以
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//描述为: G的所有不同的生成树的个数等于其Kirchhoff矩阵C[G]任何一个n - 1阶主子式的行列式的绝对值
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//所谓n - 1阶主子式, 就是对于r(1 ≤ r ≤ n), 将C[G]的第r行、第r列同时去掉后得到的新矩阵, 用Cr[G]表示。
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